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Dynamic covariation between gene expression and proteome characteristics.

Sharabiani, Mansour Taghavi Azar; Siermala, Markku; Lehtinen, Tommi O and Vihinen, Mauno LU (2005) In BMC Bioinformatics 6.
Abstract
Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to changes in gene and protein expression. Since the majority of genes encode proteins, we investigated possible correlations between protein parameters and gene expression patterns to identify proteome-wide characteristics indicative of trends common to expressed proteins.
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Proteome: classification, Oligonucleotide Array Sequence Analysis: methods, Lymphocyte Activation: genetics, Information Storage and Retrieval: methods, Gene Expression Profiling: methods, Drosophila melanogaster: genetics, Computational Biology: methods, B-Lymphocytes: physiology, Cell Cycle: genetics, Saccharomyces cerevisiae: genetics, Sequence Analysis, Protein: methods, Signal Transduction: genetics, T-Lymphocytes: physiology
in
BMC Bioinformatics
volume
6
publisher
BioMed Central
external identifiers
  • pmid:16131395
  • scopus:25444447353
ISSN
1471-2105
DOI
10.1186/1471-2105-6-215
language
English
LU publication?
no
id
fbea7c5d-8516-4a62-bf88-884dc35ee2d4 (old id 3635387)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/16131395?dopt=Abstract
date added to LUP
2013-06-12 16:18:51
date last changed
2017-01-01 07:53:38
@article{fbea7c5d-8516-4a62-bf88-884dc35ee2d4,
  abstract     = {Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to changes in gene and protein expression. Since the majority of genes encode proteins, we investigated possible correlations between protein parameters and gene expression patterns to identify proteome-wide characteristics indicative of trends common to expressed proteins.},
  articleno    = {215},
  author       = {Sharabiani, Mansour Taghavi Azar and Siermala, Markku and Lehtinen, Tommi O and Vihinen, Mauno},
  issn         = {1471-2105},
  keyword      = {Proteome: classification,Oligonucleotide Array Sequence Analysis: methods,Lymphocyte Activation: genetics,Information Storage and Retrieval: methods,Gene Expression Profiling: methods,Drosophila melanogaster: genetics,Computational Biology: methods,B-Lymphocytes: physiology,Cell Cycle: genetics,Saccharomyces cerevisiae: genetics,Sequence Analysis,Protein: methods,Signal Transduction: genetics,T-Lymphocytes: physiology},
  language     = {eng},
  publisher    = {BioMed Central},
  series       = {BMC Bioinformatics},
  title        = {Dynamic covariation between gene expression and proteome characteristics.},
  url          = {http://dx.doi.org/10.1186/1471-2105-6-215},
  volume       = {6},
  year         = {2005},
}